The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-22"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "15230561 (up from 14947428 yesterday: 1.89 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "623443 (up from 616443 yesterday: 1.14 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4538010

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.09



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3970906 71695 1.84 1284648 143190 1195 0.84 3.61
Brazil 2227514 67860 3.14 778761 82771 1284 1.58 3.72
India 1238798 45720 3.83 634157 29861 1129 3.93 2.41
Russia 787890 5850 0.75 134411 12726 165 1.31 1.62
South Africa 394948 13150 3.44 235615 5940 572 10.66 1.50
Peru 366550 4463 1.23 78073 13767 188 1.38 3.76
Mexico 362274 6019 1.69 130504 41190 790 1.96 11.37
Chile 334683 0 0.00 52640 8677 0 0.00 2.59
United Kingdom 297952 563 0.19 -17040 45586 79 0.17 15.30
Iran 281413 2586 0.93 51202 14853 219 1.50 5.28
Pakistan 269191 1763 0.66 51382 5709 32 0.56 2.12
Spain 267551 1357 0.51 17892 28426 2 0.01 10.62
Saudi Arabia 258156 2331 0.91 63931 2601 44 1.72 1.01
Italy 245032 280 0.11 4272 35082 9 0.03 14.32
Turkey 222402 902 0.41 21304 5545 19 0.34 2.49
Colombia 218428 7390 3.50 120338 7373 207 2.89 3.38
France 215605 998 0.47 12624 30175 7 0.02 14.00
Bangladesh 213254 2744 1.30 63996 2751 42 1.55 1.29
Germany 204276 559 0.27 8383 9102 3 0.03 4.46
Argentina 141900 5782 4.25 74703 2588 98 3.94 1.82
Canada 113790 317 0.28 7502 8913 5 0.06 7.83
Qatar 107871 441 0.41 10868 163 3 1.88 0.15
Iraq 99865 2706 2.79 48341 4042 92 2.33 4.05
Indonesia 91751 1882 2.09 33981 4459 139 3.22 4.86
Egypt 89745 667 0.75 19931 4440 41 0.93 4.95
China 85906 592 0.69 1090 4648 4 0.09 5.41
Sweden 78504 338 0.43 8812 5667 21 0.37 7.22
Ecuador 77257 1040 1.36 19000 5418 52 0.97 7.01
Kazakhstan 76799 1646 2.19 35734 585 0 0.00 0.76
Philippines 72269 1505 2.13 33758 1843 6 0.33 2.55
Oman 71547 1660 2.38 30353 349 12 3.56 0.49
Belarus 66521 173 0.26 4097 513 6 1.18 0.77
Belgium 64627 369 0.57 3118 9808 3 0.03 15.18
Bolivia 64135 1778 2.85 29908 2328 55 2.42 3.63
Ukraine 62295 841 1.37 16371 1553 16 1.04 2.49
Kuwait 61185 751 1.24 14245 417 5 1.21 0.68
United Arab Emirates 57734 236 0.41 8665 342 1 0.29 0.59
Israel 56085 2043 3.78 29828 430 5 1.18 0.77
Dominican Republic 56043 1246 2.27 22656 1005 6 0.60 1.79
Panama 55906 753 1.37 21443 1180 21 1.81 2.11
Netherlands 52475 168 0.32 1992 6158 3 0.05 11.74
Portugal 49150 252 0.52 6696 1702 5 0.29 3.46
Singapore 48744 310 0.64 4622 27 0 0.00 0.06
Poland 41162 380 0.93 6387 1642 6 0.37 3.99
Guatemala 41135 906 2.25 22124 1573 42 2.74 3.82
Romania 40163 1030 2.63 12867 2101 27 1.30 5.23
Nigeria 38344 543 1.44 11860 813 8 0.99 2.12
Bahrain 37637 321 0.86 10223 130 1 0.78 0.35
Honduras 36102 757 2.14 15840 1006 18 1.82 2.79
Afghanistan 35727 112 0.31 3891 1190 4 0.34 3.33
Armenia 35693 439 1.25 9628 678 16 2.42 1.90
Switzerland 33883 141 0.42 2032 1972 0 0.00 5.82
Kyrgyzstan 30349 2098 7.43 24088 1169 90 8.34 3.85
Ghana 29672 683 2.36 11538 153 0 0.00 0.52
Azerbaijan 28633 391 1.38 10521 385 9 2.39 1.34
Japan 27136 673 2.54 8298 990 2 0.20 3.65
Ireland 25819 17 0.07 342 1754 1 0.06 6.79
Algeria 24872 594 2.45 10600 1111 11 1.00 4.47
Serbia 22031 426 1.97 7195 499 8 1.63 2.26
Moldova 21798 356 1.66 4900 712 5 0.71 3.27
Austria 19929 102 0.51 2056 711 1 0.14 3.57
Uzbekistan 18379 498 2.79 9598 98 3 3.16 0.53
Nepal 18094 100 0.56 4048 42 2 5.00 0.23
Morocco 17962 220 1.24 5326 285 5 1.79 1.59
Cameroon 16522 0 0.00 3930 382 0 0.00 2.31
Kenya 14805 637 4.50 8132 260 10 4.00 1.76
Cote d’Ivoire 14733 202 1.39 5031 93 0 0.00 0.63
Czechia 14570 246 1.72 2524 364 4 1.11 2.50
Korea, South 13938 59 0.43 1034 297 0 0.00 2.13
Denmark 13554 48 0.36 560 611 0 0.00 4.51
Australia 13305 411 3.19 5304 133 5 3.91 1.00
Venezuela 13164 390 3.05 7102 124 4 3.33 0.94
El Salvador 12975 393 3.12 6239 363 11 3.12 2.80
Costa Rica 12361 550 4.66 8608 71 3 4.41 0.57
Ethiopia 11524 452 4.08 5678 188 8 4.44 1.63
Sudan 11237 245 2.23 1664 708 15 2.16 6.30

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 421286 11981 2.93 182605 8047 159 2.02 1.91 10662.17 203.66 1 in 94
New York 408886 705 0.17 14807 32558 38 0.12 7.96 21018.57 1673.63 1 in 48
Florida 379619 9785 2.65 220622 5345 139 2.67 1.41 17675.00 248.86 1 in 57
Texas 363615 12544 3.57 191247 4439 240 5.72 1.22 12540.23 153.09 1 in 80
New Jersey 177645 389 0.22 5717 15707 -30 -0.19 8.84 20000.14 1768.37 1 in 50
Illinois 166475 1611 0.98 22462 7540 23 0.31 4.53 13137.42 595.02 1 in 76
Georgia 152302 3314 2.22 68060 3335 81 2.49 2.19 14344.54 314.11 1 in 70
Arizona 150609 1926 1.30 66504 2974 56 1.92 1.97 19778.22 390.55 1 in 51
Massachusetts 114320 287 0.25 5438 8468 18 0.21 7.41 16450.10 1218.50 1 in 61
Pennsylvania 108187 727 0.68 16412 7077 26 0.37 6.54 8450.80 552.80 1 in 118
North Carolina 105276 2060 2.00 38525 1732 27 1.58 1.65 10037.68 165.14 1 in 100
Louisiana 99354 2771 2.87 39176 3558 60 1.72 3.58 21371.99 765.36 1 in 47
Tennessee 84417 2473 3.02 39102 888 17 1.95 1.05 12354.00 129.95 1 in 81
Michigan 83730 671 0.81 12641 6388 6 0.09 7.63 8384.02 639.64 1 in 119
Virginia 80393 1022 1.29 17190 2051 3 0.15 2.55 9418.64 240.29 1 in 106
Maryland 80172 627 0.79 12254 3405 3 0.09 4.25 13261.04 563.21 1 in 75
Ohio 78742 1527 1.98 25877 3235 16 0.50 4.11 6736.36 276.75 1 in 148
South Carolina 75042 1705 2.32 37123 1285 64 5.24 1.71 14574.90 249.58 1 in 69
Alabama 71813 1455 2.07 32851 1364 61 4.68 1.90 14646.19 278.19 1 in 68
Indiana 58673 757 1.31 12721 2863 17 0.60 4.88 8715.25 425.27 1 in 115
Washington 49247 672 1.38 15812 1468 3 0.20 2.98 6467.20 192.78 1 in 155
Connecticut 48223 127 0.26 1651 4406 0 0.00 9.14 13525.70 1235.81 1 in 74
Minnesota 47961 504 1.06 11245 1592 4 0.25 3.32 8504.28 282.29 1 in 118
Mississippi 47071 1547 3.40 19171 1423 34 2.45 3.02 15816.08 478.13 1 in 63
Wisconsin 44847 712 1.61 15648 865 6 0.70 1.93 7702.45 148.56 1 in 130
Colorado 41680 639 1.56 8668 1771 8 0.45 4.25 7237.70 307.53 1 in 138
Iowa 40208 487 1.23 10694 814 8 0.99 2.02 12743.93 258.00 1 in 78
Nevada 38657 1129 3.01 19556 704 28 4.14 1.82 12550.34 228.56 1 in 80
Missouri 36497 1303 3.70 15462 1159 11 0.96 3.18 5946.63 188.84 1 in 168
Utah 35578 566 1.62 12862 260 9 3.59 0.73 11097.46 81.10 1 in 90
Arkansas 35246 591 1.71 14049 380 6 1.60 1.08 11679.27 125.92 1 in 86
Oklahoma 28119 1793 6.81 14000 474 13 2.82 1.69 7106.19 119.79 1 in 141
Kentucky 24540 480 2.00 8698 677 3 0.45 2.76 5492.79 151.53 1 in 182
Nebraska 23486 296 1.28 4176 311 1 0.32 1.32 12141.18 160.77 1 in 82
Kansas 23481 552 2.41 8651 321 5 1.58 1.37 8059.89 110.18 1 in 124
Rhode Island 18062 76 0.42 1209 997 1 0.10 5.52 17049.90 941.13 1 in 59
New Mexico 17828 311 1.78 5552 591 3 0.51 3.32 8502.36 281.85 1 in 118
Idaho 16322 499 3.15 9952 135 9 7.14 0.83 9107.93 75.33 1 in 110
Oregon 15393 254 1.68 6462 271 2 0.74 1.76 3649.59 64.25 1 in 274
Delaware 13792 46 0.33 2282 527 2 0.38 3.82 14163.60 541.20 1 in 71
Puerto Rico 13038 98 0.76 5501 185 5 2.78 1.42 4082.42 57.93 1 in 245
District of Columbia 11529 102 0.89 1164 580 0 0.00 5.03 16335.84 821.82 1 in 61
South Dakota 8077 58 0.72 1251 119 1 0.85 1.47 9130.07 134.52 1 in 110
New Hampshire 6295 33 0.53 493 402 2 0.50 6.39 4629.66 295.65 1 in 216
North Dakota 5367 160 3.07 1752 96 2 2.13 1.79 7042.73 125.97 1 in 142
West Virginia 5212 40 0.77 2233 101 0 0.00 1.94 2916.38 56.51 1 in 343
Maine 3722 -1 -0.03 428 118 0 0.00 3.17 2768.91 87.78 1 in 361
Montana 2812 101 3.73 1796 42 2 5.00 1.49 2631.04 39.30 1 in 380
Wyoming 2288 50 2.23 774 25 0 0.00 1.09 3953.29 43.20 1 in 253
Alaska 2131 89 4.36 1156 19 1 5.56 0.89 2913.01 25.97 1 in 343
Hawaii 1435 17 1.20 509 25 1 4.17 1.74 1013.51 17.66 1 in 987
Vermont 1366 0 0.00 156 56 0 0.00 4.10 2189.14 89.75 1 in 457

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 6664419 421286 6.32 2410243 182605 7.58 168667.28
2 New York 5298640 408886 7.72 1326992 14807 1.12 272373.78
3 Florida 3154711 379619 12.03 1174357 220622 18.79 146882.84
4 Texas 3104148 363615 11.71 1182200 191247 16.18 107054.79
5 New Jersey 1840929 177645 9.65 397992 5717 1.44 207260.71
6 Illinois 2349662 166475 7.09 712554 22462 3.15 185424.18
7 Georgia 1316844 152302 11.57 461806 68060 14.74 124026.71
8 Arizona 813981 150609 18.50 264385 66504 25.15 106893.29
9 Massachusetts 1070062 114320 10.68 211627 5438 2.57 153976.77
10 Pennsylvania 1071477 108187 10.10 294673 16412 5.57 83696.14
11 North Carolina 1491820 105276 7.06 549582 38525 7.01 142239.52
12 Louisiana 1152901 99354 8.62 400813 39176 9.77 248000.02
13 Tennessee 1263828 84417 6.68 445942 39102 8.77 184954.75
14 Michigan 1559613 83730 5.37 497754 12641 2.54 156166.55
15 Virginia 954187 80393 8.43 295554 17190 5.82 111790.16
16 Maryland 782833 80172 10.24 240229 12254 5.10 129486.34
17 Ohio 1221595 78742 6.45 429590 25877 6.02 104507.19
18 South Carolina 609160 75042 12.32 219288 37123 16.93 118313.04
19 Alabama 609488 71813 11.78 195535 32851 16.80 124304.51
20 Indiana 654413 58673 8.97 164697 12721 7.72 97206.14
21 Washington 841184 49247 5.85 283909 15812 5.57 110465.64
22 Connecticut 674406 48223 7.15 196565 1651 0.84 189158.97
23 Minnesota 888551 47961 5.40 271444 11245 4.14 157554.78
24 Mississippi 403030 47071 11.68 109278 19171 17.54 135419.97
25 Wisconsin 813213 44847 5.51 229381 15648 6.82 139668.91
26 Colorado 457402 41680 9.11 129899 8668 6.67 79427.50
27 Iowa 426436 40208 9.43 116646 10694 9.17 135158.97
28 Nevada 404308 38657 9.56 120212 19556 16.27 131262.18
29 Missouri 589460 36497 6.19 199720 15462 7.74 96043.49
30 Utah 481402 35578 7.39 138044 12862 9.32 150158.55
31 Arkansas 440226 35246 8.01 125368 14049 11.21 145875.26
32 Oklahoma 505598 28119 5.56 159285 14000 8.79 127774.00
33 Kentucky 519075 24540 4.73 141985 8698 6.13 116184.64
34 Nebraska 242621 23486 9.68 62013 4176 6.73 125423.90
35 Kansas 268686 23481 8.74 85513 8651 10.12 92226.93
36 Rhode Island 186856 18062 9.67 -57359 1209 -2.11 176385.58
37 New Mexico 481531 17828 3.70 137350 5552 4.04 229647.24
38 Idaho 153971 16322 10.60 62931 9952 15.81 85918.20
39 Oregon 352794 15393 4.36 109434 6462 5.90 83645.33
40 Delaware 159433 13792 8.65 48049 2282 4.75 163728.58
42 District of Columbia 159572 11529 7.22 59537 1164 1.96 226103.05
43 South Dakota 101058 8077 7.99 20115 1251 6.22 114233.85
44 New Hampshire 145538 6295 4.33 26369 493 1.87 107035.98
45 North Dakota 139266 5367 3.85 32040 1752 5.47 182748.91
46 West Virginia 242387 5212 2.15 69035 2233 3.23 135627.90
47 Maine 145018 3722 2.57 47777 428 0.90 107883.28
48 Montana 143518 2812 1.96 50188 1796 3.58 134282.33
49 Wyoming 44215 2288 5.17 10516 774 7.36 76396.22
50 Alaska 185333 2131 1.15 70933 1156 1.63 253344.63
51 Hawaii 108182 1435 1.33 29124 509 1.75 76406.62
52 Vermont 85742 1366 1.59 19450 156 0.80 137409.47

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 337607 0 0 187769 55.62 136980 12556 0 0 3.72
Tamil Nadu 186492 0 0 131583 70.56 51765 3144 0 0 1.69
Delhi 126323 0 0 107650 85.22 14954 3719 0 0 2.94
Karnataka 75833 0 0 27239 35.92 47066 1519 0 0 2.00
Andhra Pradesh 64713 0 0 32127 49.65 31763 823 0 0 1.27
Uttar Pradesh 55588 0 0 33500 60.26 20825 1263 0 0 2.27
Gujarat 51485 0 0 37341 72.53 11916 2228 0 0 4.33
West Bengal 49321 0 0 29650 60.12 18450 1221 0 0 2.48
Telangana 49259 0 0 37666 76.47 11155 438 0 0 0.89
Rajasthan 32334 0 0 23364 72.26 8387 583 0 0 1.80
Bihar 30066 0 0 19876 66.11 9981 208 0 0 0.69
Haryana 28186 0 0 21697 76.98 6117 372 0 0 1.32
Assam 27745 0 0 19351 69.75 8325 66 0 0 0.24
Madhya Pradesh 24842 0 0 16836 67.77 7236 770 0 0 3.10
Odisha 19835 0 0 13750 69.32 5946 139 0 0 0.70
Jammu and Kashmir 15711 0 0 8607 54.78 6831 273 0 0 1.74
Kerala 15033 0 0 6162 40.99 8821 46 0 0 0.31
Punjab 11301 0 0 7641 67.61 3391 269 0 0 2.38
Jharkhand 6682 0 0 3048 45.62 3570 64 0 0 0.96
Chhattisgarh 5999 0 0 4230 70.51 1740 29 0 0 0.48
Uttarakhand 5300 0 0 3349 63.19 1856 57 0 0 1.08
Goa 4176 0 0 2541 60.85 1607 28 0 0 0.67
Tripura 3471 0 0 2033 58.57 1411 9 0 0 0.26
Puducherry 2300 0 0 1369 59.52 900 31 0 0 1.35
Manipur 2060 0 0 1418 68.83 642 0 0 NaN 0.00
Himachal Pradesh 1725 0 0 1105 64.06 594 11 0 0 0.64
Ladakh 1206 0 0 1018 84.41 186 2 0 0 0.17
Nagaland 1084 0 0 486 44.83 598 0 0 NaN 0.00
Arunachal Pradesh 949 0 0 314 33.09 632 3 0 0 0.32
Chandigarh 780 0 0 526 67.44 241 13 0 0 1.67
Dadra and Nagar Haveli and Daman and Diu 775 0 0 490 63.23 273 2 0 0 0.26
Meghalaya 514 0 0 77 14.98 433 4 0 0 0.78
Sikkim 451 0 0 112 24.83 326 0 0 NaN 0.00
Mizoram 317 0 0 179 56.47 138 0 0 NaN 0.00
Andaman and Nicobar Islands 221 0 0 163 73.76 57 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1217829 95633 51 0.05 7.85 149 17 6975 16798 17.57
Piemonte 475380 31558 13 0.04 6.64 146 6 789 4123 13.06
Emilia-Romagna 591704 29295 57 0.19 4.95 81 7 1325 4281 14.61
Veneto 1138626 19707 36 0.18 1.73 35 2 643 2057 10.44
Toscana 398693 10390 6 0.06 2.61 12 1 332 1131 10.89
Liguria 175351 10124 7 0.07 5.77 31 0 195 1565 15.46
Lazio 394124 8472 16 0.19 2.15 174 9 889 855 10.09
Marche 158397 6814 1 0.01 4.30 2 1 140 987 14.48
P.A. Trento 142945 4911 20 0.41 3.44 2 0 41 405 8.25
Campania 316191 4858 19 0.39 1.54 29 1 315 434 8.93
Puglia 221331 4556 0 0.00 2.06 11 0 56 548 12.03
Friuli Venezia Giulia 232099 3360 2 0.06 1.45 8 0 98 345 10.27
Abruzzo 120967 3342 0 0.00 2.76 8 1 109 470 14.06
Sicilia 255152 3153 7 0.22 1.24 10 3 161 283 8.98
P.A. Bolzano 97639 2685 0 0.00 2.75 6 0 96 292 10.88
Umbria 114155 1461 2 0.14 1.28 6 0 16 80 5.48
Sardegna 100140 1380 1 0.07 1.38 7 0 12 134 9.71
Calabria 112649 1243 4 0.32 1.10 3 0 75 97 7.80
Valle d’Aosta 20539 1196 0 0.00 5.82 1 0 1 146 12.21
Molise 26026 450 4 0.90 1.73 1 0 11 23 5.11
Basilicata 44793 444 36 8.82 0.99 2 0 43 28 6.31

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57938 142 0.25 5662 4 0.07 9.77 6786.16 663.18 1 in 147
Ontario 39824 106 0.27 2799 1 0.04 7.03 2706.94 190.26 1 in 369
Alberta 9728 0 0.00 172 0 0.00 1.77 2204.32 38.97 1 in 454
British Columbia 3328 0 0.00 189 0 0.00 5.68 651.16 36.98 1 in 1536
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 1030 60 6.19 15 0 0.00 1.46 871.65 12.69 1 in 1147
Manitoba 374 8 2.19 7 0 0.00 1.87 271.50 5.08 1 in 3683
Newfoundland and Labrador 264 1 0.38 3 0 0.00 1.14 506.36 5.75 1 in 1975
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 2131 14 0.66
Guangdong 1662 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 798 7 0.88
Shanghai 738 7 0.95
Jiangsu 655 0 0.00
Sichuan 603 3 0.50
Chongqing 583 6 1.03
Fujian 364 1 0.27
Hebei 349 6 1.72
Shaanxi 323 3 0.93
Guangxi 255 2 0.78
Inner Mongolia 250 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 189 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 165 2 1.21
Xinjiang 158 3 1.90
Jilin 155 2 1.29
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 12136.02 437.62 1 in 82
Brazil 10642.69 395.47 1 in 94
India 925.17 22.30 1 in 1081
Russia 5452.53 88.07 1 in 183
South Africa 6963.12 104.72 1 in 144
Peru 11394.16 427.95 1 in 88
Mexico 2803.98 318.81 1 in 357
Chile 18541.99 480.72 1 in 54
United Kingdom 4484.53 686.12 1 in 223
Iran 3467.39 183.01 1 in 288
Pakistan 1366.45 28.98 1 in 732
Spain 5734.05 609.22 1 in 174
Saudi Arabia 7837.16 78.96 1 in 128
Italy 4051.46 580.06 1 in 247
Turkey 2752.16 68.62 1 in 363
Colombia 4451.36 150.25 1 in 225
France 3218.47 450.44 1 in 311
Bangladesh NA NA 1 in NA
Germany 2467.40 109.94 1 in 405
Argentina 3205.33 58.46 1 in 312

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 222444 23428 10.53
Los Angeles California 165134 4215 2.55
Maricopa Arizona 100543 1599 1.59
Cook Illinois 100124 4801 4.80
Miami-Dade Florida 92345 1342 1.45
Harris Texas 59901 576 0.96
Broward Florida 43747 529 1.21
Dallas Texas 43439 567 1.31
Nassau New York 42765 2193 5.13
Suffolk New York 42621 1995 4.68
Westchester New York 35636 1442 4.05
Bexar Texas 33555 283 0.84
Clark Nevada 33057 577 1.75
Riverside California 31982 617 1.93
Orange California 31743 521 1.64
Philadelphia Pennsylvania 28874 1673 5.79
Palm Beach Florida 27506 709 2.58
San Bernardino California 25775 337 1.31
Wayne Michigan 25520 2784 10.91
San Diego California 25107 505 2.01
Middlesex Massachusetts 25084 1951 7.78
Hillsborough Florida 24891 260 1.04
Orange Florida 24700 138 0.56
Tarrant Texas 23536 310 1.32
Prince George’s Maryland 20958 725 3.46
Suffolk Massachusetts 20678 1039 5.02
Bergen New Jersey 20099 2031 10.10
Hudson New Jersey 19281 1491 7.73
Essex New Jersey 19173 2089 10.90
Travis Texas 18394 218 1.19
Mecklenburg North Carolina 18079 179 0.99
Duval Florida 17979 108 0.60
Middlesex New Jersey 17379 1392 8.01
Passaic New Jersey 17196 1238 7.20
Fairfield Connecticut 17164 1399 8.15
Salt Lake Utah 17123 145 0.85
Shelby Tennessee 16966 257 1.51
Essex Massachusetts 16815 1152 6.85
Milwaukee Wisconsin 16777 417 2.49
Davidson Tennessee 16695 173 1.04
Montgomery Maryland 16593 776 4.68
Union New Jersey 16351 1342 8.21
Hennepin Minnesota 15273 803 5.26
Fairfax Virginia 15078 510 3.38
Franklin Ohio 14736 478 3.24
Pinellas Florida 14191 342 2.41
Fulton Georgia 14169 350 2.47
Gwinnett Georgia 14099 209 1.48
Providence Rhode Island 14033 0 0.00
Pima Arizona 13990 392 2.80
Rockland New York 13812 673 4.87
Oakland Michigan 13644 1121 8.22
King Washington 13627 638 4.68
Lee Florida 13395 245 1.83
Out of GA Georgia 13182 71 0.54
Hidalgo Texas 13126 367 2.80
Marion Indiana 13094 711 5.43
Worcester Massachusetts 12933 971 7.51
New Haven Connecticut 12825 1092 8.51
Jefferson Louisiana 12812 507 3.96
El Paso Texas 12297 196 1.59
Hartford Connecticut 12147 1407 11.58
District of Columbia District of Columbia 11529 580 5.03
Fresno California 11412 104 0.91
Kern California 11188 115 1.03
Lake Illinois 11079 435 3.93
Cuyahoga Ohio 11015 432 3.92
Orange New York 10960 489 4.46
DuPage Illinois 10531 500 4.75
Polk Florida 10309 200 1.94
DeKalb Georgia 10203 196 1.92
Baltimore Maryland 10153 519 5.11
Ocean New Jersey 10054 1011 10.06
Charleston South Carolina 9968 117 1.17
Norfolk Massachusetts 9821 972 9.90
Baltimore City Maryland 9738 390 4.00
Monmouth New Jersey 9720 851 8.76
Yuma Arizona 9713 206 2.12
Alameda California 9643 171 1.77
St. Louis Missouri 9624 615 6.39
Nueces Texas 9607 116 1.21
San Joaquin California 9595 98 1.02
Orleans Louisiana 9586 546 5.70
Yakima Washington 9312 194 2.08
Montgomery Pennsylvania 9282 839 9.04
Jefferson Alabama 9275 190 2.05
Wake North Carolina 9252 99 1.07
Douglas Nebraska 9022 117 1.30
Cobb Georgia 8966 274 3.06
East Baton Rouge Louisiana 8919 300 3.36
Plymouth Massachusetts 8917 700 7.85
Greenville South Carolina 8832 137 1.55
Imperial California 8799 165 1.88
Bristol Massachusetts 8761 615 7.02
Denver Colorado 8650 402 4.65
Polk Iowa 8644 191 2.21
Macomb Michigan 8586 936 10.90
Kane Illinois 8481 293 3.45
Santa Clara California 8321 180 2.16
Prince William Virginia 8265 165 2.00

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc